Please use this identifier to cite or link to this item:
Title: Impact of Channel Correlation and Hardware Impairments on Large Intelligent Surfaces-Aided Communication Systems
Authors: Saleh, Emad
Alsmadi, Malek M.
Bouhlel, Asma
Canbilen, Ayşe E.
Abu Ali, Najah
Ikki, Salama
Keywords: Large intelligent surfaces
hardware impairments
error rate
outage probability
correlated channels
Issue Date: 2021
Publisher: Ieee
Abstract: Large Intelligent Surfaces (LIS) are promising in terms of what they can offer to 6G and beyond communication networks. As such, they have recently attracted considerable attention in the research community. This technique allows the operators to control the environment in a strategic way so as to improve the communication system performance. This work studies the effect of hardware impairments (HWIs) on the LIS-Aided wireless communication system under correlated channel conditions. In specific, we look at the impact on the system performance. We also give a deterministic approximation function of the average bit error rate (ABER) for a large number of reflectors and a tight approximation of the outage probability (OP). Extensive Monte Carlo simulations are provided to verify the analytical results, which show that the system performance saturates at a high signal-to-noise ratio (SNR) due to the HWIs. Moreover, this degradation is exacerbated when the channels demonstrate strong correlation conditions. However, the HWIs have a dominant effect and the correlation impact diminishes with a larger number of reflectors.
Description: 32nd IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications (IEEE PIMRC) -- SEP 13-16, 2021 -- ELECTR NETWORK
ISBN: 978-1-7281-7586-7
Appears in Collections:Mühendislik ve Doğa Bilimleri Fakültesi Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collections
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collections

Show full item record

CORE Recommender


checked on Jan 30, 2023

Page view(s)

checked on Jun 5, 2023

Google ScholarTM



Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.